TY - CHAP
T1 - Comparison of Decision Makers’ Perspectives and Data-Driven Factors Affecting Pavement Condition in Khyber Pakhtunkhwa, Pakistan
AU - Dartey, Selorm
AU - Amir, Azam
AU - Henry, Michael
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
PY - 2024
Y1 - 2024
N2 - Best practices dictate that road maintenance plans be drawn up based on the pavement conditions determined by routine inspection. However, in many cases, the maintenance strategy is based on the experience of decision-makers, rather than the actual conditions. In Khyber Pakhtunkhwa Province, Pakistan, there are more than 3,000 km of provincial roads, but the road condition does not match the desired level due to the absence of an effective maintenance strategy. This paper aims to compare the pavement deterioration factors in the four divisions of highways as evaluated by decision makers with the factors exhibited by the actual inspection data to determine whether they follow a similar or different pattern. For this purpose, the factors that affect the pavement condition from the decision makers’ perspective were extracted from a questionnaire survey of division-level road managers by cross-tabulation analysis and were then compared with factors identified by ordinal logistic regression analysis of the pavement condition data obtained from the department. The study revealed that some factors that affected pavement condition like traffic loading that were common to both the decision makers’ perspectives and inspection data collected from the department in all divisions. However, there were some differences like drainage condition having a more significant effect on pavement condition in some divisions more than others, which suggested that it is important to analyze routine inspection data to give a more thorough and holistic approach to maintenance planning.
AB - Best practices dictate that road maintenance plans be drawn up based on the pavement conditions determined by routine inspection. However, in many cases, the maintenance strategy is based on the experience of decision-makers, rather than the actual conditions. In Khyber Pakhtunkhwa Province, Pakistan, there are more than 3,000 km of provincial roads, but the road condition does not match the desired level due to the absence of an effective maintenance strategy. This paper aims to compare the pavement deterioration factors in the four divisions of highways as evaluated by decision makers with the factors exhibited by the actual inspection data to determine whether they follow a similar or different pattern. For this purpose, the factors that affect the pavement condition from the decision makers’ perspective were extracted from a questionnaire survey of division-level road managers by cross-tabulation analysis and were then compared with factors identified by ordinal logistic regression analysis of the pavement condition data obtained from the department. The study revealed that some factors that affected pavement condition like traffic loading that were common to both the decision makers’ perspectives and inspection data collected from the department in all divisions. However, there were some differences like drainage condition having a more significant effect on pavement condition in some divisions more than others, which suggested that it is important to analyze routine inspection data to give a more thorough and holistic approach to maintenance planning.
KW - Cross Tabulation Analysis
KW - Data-Driven Decision Making
KW - Ordinal Regression Analysis
KW - Pavement Condition
KW - Questionnaire Survey
KW - Road Maintenance
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U2 - 10.1007/978-3-031-53389-1_94
DO - 10.1007/978-3-031-53389-1_94
M3 - Chapter
AN - SCOPUS:85186428438
T3 - RILEM Bookseries
SP - 1064
EP - 1075
BT - RILEM Bookseries
PB - Springer Science and Business Media B.V.
ER -